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Report abuseI build production AI systems where something real is at stake. Tight budgets, no internet, live phone calls — constraints that make the standard solution impossible are where I do my best work.
| 94% AI cost reduction | Rebuilt AI inference pipeline from scratch, 94% cost reduction + improved quality |
| Rs. 30L+ saved annually | Multi-agent automation pipelines replacing entirely manual workflows |
| Voice AI Telephony under 500ms | Real-time AI agent on live phone calls, custom Cerebras CS-2 inference architecture |
| Full LLM offline in 1GB | Quantised LLM on-device on budget Android hardware, zero cloud dependency |
Standard LLM APIs take 3 to 5 seconds. That makes natural phone conversation impossible. Built a custom 3-stage inference architecture — hitting under 500ms end to end. Live in production at 99.7% success rate.
Canvas engine that gives AI agents a programmatic drawing hand. Every shape gets a UUID so agents create, update, animate, or delete elements across sessions and multi-step operations. Plugin architecture across 13 independent ES modules. 111 weekly downloads at peak.
I write about productionizing AI, solving edge cases, and moving beyond basic GenAI wrappers.
I'm currently open to new opportunities and consulting. If you are dealing with heavy optimization problems, architecture bottlenecks, or need custom multi-agent rollouts, let's talk.
💬 Drop me an email or find me on LinkedIn.
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TypeScript 2